Saturation and Scaling of Multiplicity, Mean p_T and p_T Distributions from 200 GeV < sqrt{s} < 7 TeV

TL;DR

This paper analyzes how multiplicity and transverse momentum distributions in high-energy proton-proton collisions grow with energy, showing that a saturation-based model can describe data from 200 GeV to 7 TeV using minimal parameters.

Contribution

It demonstrates that the energy dependence of multiplicity and mean p_T in high-energy collisions can be effectively modeled using the Color Glass Condensate framework with minimal input.

Findings

Model describes data across a wide energy range

Parameters align with HERA and RHIC results

Saturation physics explains observed growth patterns

Abstract

The multiplicity, average transverse momentum, and charged particle transverse momentum distributions have recently been measured in LHC experiments. The multiplicity and average transverse momentum grow with beam energy. Such growth is expected in the theory of the Color Glass Condensate, a theory that incorporates the physics of saturation into the evolution of the gluon distribution. We show that the energy dependence of the $p\overline{p}$ data and the LHC data for $pp$ scattering at \sqrt{s} > 200 GeV may be simply described using a minimal amount of model input. Such a description uses parameters consistent with the Color Glass Condensate descriptions of HERA and RHIC experimental data.